CHEP helps move more goods to more people, in more places than any other organization on earth via our 347 million pallets, crates and containers. We employ approximately 13,000 people and operate in 60 countries. Through our pioneering and sustainable share-and-reuse business model, the world’s biggest brands trust us to help them transport their goods more efficiently, safely and with less environmental impact. What does that mean for you? You’ll join an international organization big enough to take you anywhere, and small enough to get you there sooner. You’ll help change how goods get to market and contribute to global sustainability. You’ll be empowered to bring your authentic self to work and be surrounded by diverse and driven professionals. And you can maximize your work-life balance and flexibility through our Hybrid Work Model . Job Description Key Responsibilities May Include: Collaborate with key stakeholders to identify business challenges, translating ambiguous problems into structured analyses using statistical modelling and machine learning algorithms. Lead the selection, validation, and optimization of models to discover meaningful patterns and insights, ensuring models remain relevant, reliable, and scalable. Drive continuous integration and deployment of data science solutions, optimizing performance through advanced machine learning techniques, code reviews, and best practices. 'Develop and deliver sophisticated visualizations, dashboards, and reports translate complex data into clear, actionable insights for business stakeholders. Present technical solutions to business stakeholders, using creative methods to explain complex concepts, increase understanding, and encourage solution adoption. Mentor and develop junior data scientists, fostering a culture of continuous learning, knowledge sharing, and skills development within the organization. Write clean, high-quality code, ensuring all outputs pass quality assurance checks, and contribute to the development of novel solutions to solve complex business problems. Stay informed on industry trends, emerging tools, and techniques, applying them to improve data science practices and encourage innovation within the team. Lead strategy development for one or more data products, managing roadmaps, identifying requirements, and collaborating with business stakeholders to ensure alignment with business goals. QUALIFICATIONS • Technology related degree and/or a minimum of 3 years working experience in a similar role. EXPERIENCE • Previous data science experience applying advanced algorithms to address practical problems. • Advanced hands-on experience in Python data libraries. • Proven track record in developing machine learning models (time series, clustering, regression analysis, deep learning). • SQL experience (Ability to read/write complex SQL queries). • Worked with measures and KPIs. • Working on remote teams. • Proved experience with Project Management (manage priorities, standardization, automation, troubleshooting and long-term planning). • Experience with process automation and workload reduction. • Experience implementing data new solutions from scratch. • Experience with software development (applied to data science). • Experience with NLP and computer vision is a bonus. • Proficient using Microsoft tools: Excel, Access, Word, Power Point, Visio. SKILLS AND KNOWLEDGE • Coding tools and Machine Learning. • Data management and statistical analysis. • Business mindset. • Strong analytic skills. • Customer oriented. • Strong communication skills. • Flexible and able to work under pressure. • Diplomatic and sensitive when serving customers of a different mentality and culture. • Ability to work autonomously. • Ability to work with remote teams. Remote Type Hybrid Remote Skills to succeed in the role Adaptability, Bitbucket, Cloud Infrastructure (Aws), Code Reviews, Databricks Platform, Data Science, Data Storytelling, Empathy, Experimentation, Git, Machine Learning (ML), Python (Programming Language), SQL Tools, Taking Ownership, Teamwork, Understand Customers We are an Equal Opportunity Employer, and we are committed to developing a diverse workforce in which everyone is treated fairly, with respect, and has the opportunity to contribute to business success while realizing his or her potential. This means harnessing the unique skills and experience that each individual brings and we do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state, or local protected class. Individuals fraudulently misrepresenting themselves as Brambles or CHEP representatives have scheduled interviews and offered fraudulent employment opportunities with the intent to commit identity theft or solicit money. Brambles and CHEP never conduct interviews via online chat or request money as a term of employment. If you have a question as to the legitimacy of an interview or job offer, please contact us at recruitment@brambles.com.